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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets
Yichi Zhang, Paul Seibert, Alexandra Otto, et al.
Computational Materials Science (2023) Vol. 232, pp. 112661-112661
Open Access | Times Cited: 19

Showing 19 citing articles:

Deep learning in computational mechanics: a review
Leon Herrmann, Stefan Kollmannsberger
Computational Mechanics (2024) Vol. 74, Iss. 2, pp. 281-331
Open Access | Times Cited: 26
Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata
Paul Seibert, Alexander Raßloff, Yichi Zhang, et al.
Integrating materials and manufacturing innovation (2024) Vol. 13, Iss. 1, pp. 272-287
Open Access | Times Cited: 7
Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials
Bohayra Mortazavi
Advanced Energy Materials (2024)
Open Access | Times Cited: 6
Applications of generative adversarial networks in materials science
Yuan Jiang, Jinshan Li, Xiang Lin Yang, et al.
Materials Genome Engineering Advances (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 5
Inverse design of spinodoid structures using Bayesian optimization
Alexander Raßloff, Paul Seibert, Karl A. Kalina, et al.
Computational Mechanics (2025)
Open Access
Exascale granular microstructure reconstruction in 3D volumes of arbitrary geometries with generative learning
Leidong Xu, Zihan Wang, Theron Rodgers, et al.
Acta Materialia (2025), pp. 120859-120859
Closed Access
A Novel Method for Medical Predictive Models in Small Data Using Out-of-Distribution Data and Transfer Learning
Inyong Jeong, Y.H. Kim, Namjun Cho, et al.
Mathematics (2024) Vol. 12, Iss. 2, pp. 237-237
Open Access | Times Cited: 4
Comparative Analysis of Synthetic Microstructure Reconstruction for Metallic Aerospace Alloys With Generative Networks
Zekeriya Ender Eğer, Waris Khan, Kuang Kuang, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
Generating new cellular structures for additive manufacturing through an unconditional 3D latent diffusion model
Leijian Yu, Yong En Kok, L. Parry, et al.
Additive manufacturing (2025), pp. 104712-104712
Open Access
Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs
Kang‐Hyun Lee, Gun Jin Yun
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 423, pp. 116876-116876
Open Access | Times Cited: 2
Enhancing capabilities of generative models through VAE-GAN integration: A review
Dongting Cai
Applied and Computational Engineering (2024) Vol. 67, Iss. 1, pp. 239-246
Open Access | Times Cited: 2
What can machine learning help with microstructure-informed materials modeling and design?
Xiang-Long Peng, Mozhdeh Fathidoost, Binbin Lin, et al.
MRS Bulletin (2024)
Open Access | Times Cited: 2
Scattering transform in microstructure reconstruction
Paul Reck, Paul Seibert, Alexander Raßloff, et al.
PAMM (2023) Vol. 23, Iss. 3
Open Access | Times Cited: 6
Fast Reconstruction of Microstructures with Ellipsoidal Inclusions Using Analytical Descriptors
Paul Seibert, Markus Husert, Maximilian P. Wollner, et al.
Computer-Aided Design (2023) Vol. 166, pp. 103635-103635
Open Access | Times Cited: 6
On the relevance of descriptor fidelity in microstructure reconstruction
Paul Seibert, Alexander Raßloff, Karl A. Kalina, et al.
PAMM (2023) Vol. 23, Iss. 3
Open Access | Times Cited: 5
Comparison and validation of stochastic microstructure characterization and reconstruction: Machine learning vs. deep learning methodologies
Arulmurugan Senthilnathan, Vishnu Saseendran, Pınar Acar, et al.
Acta Materialia (2024) Vol. 278, pp. 120220-120220
Closed Access | Times Cited: 1
Fast descriptor-based 2D and 3D microstructure reconstruction using the Portilla–Simoncelli algorithm
Paul Seibert, Alexander Raßloff, Karl A. Kalina, et al.
Engineering With Computers (2024)
Open Access
VTVBrain: A Two-stage Brain Encoding Model for Decoding Key Neural Responses in Multimodal Contexts
Yaqi Wang, Renzhou Gui, Wenbo Zhu, et al.
2022 Photonics & Electromagnetics Research Symposium (PIERS) (2024), pp. 1-9
Closed Access
Hidden Knowledge Recovery from GAN-generated Single-cell RNA-seq Data
Najeebullah Shah, Fanhong Li, Xuegong Zhang
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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